Middle Marketing Data Analyst
New
J
JobgetherMarketing Data
Based in GermanyFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years
- Required Skills
- SQLGitGoogle AnalyticsTableauData visualizationA/B testingdbt
Requirements
- 2+ years of professional experience in data analytics or a related analytical field.
- Strong practical knowledge of SQL for extracting, processing, transforming, and analyzing data.
- Hands-on experience with Tableau and the ability to create clear, informative, and business-oriented data visualizations.
- Solid understanding of statistics and practical experience applying statistical methods to A/B testing and experimentation.
- Ability to analyze complex datasets, identify patterns and performance issues, and translate findings into actionable recommendations.
- Strong attention to detail and a structured approach to analytical work and documentation.
- Ability to collaborate effectively with data engineers, web analysts, marketing teams, and other business stakeholders.
- Strong communication skills, with the ability to explain analytical findings clearly to both technical and non-technical audiences.
- Self-motivated and proactive approach, with the ability to work independently while managing multiple analytical requests and priorities.
- Comfortable working in a fast-paced environment where priorities can evolve and analytical problems may require creative solutions.
- Experience in iGaming or another data-intensive digital industry is an advantage.
- Knowledge of Google Analytics, dbt, and basic Git is a plus.
Responsibilities
- Analyze data from tracking systems and other sources to understand user behavior across the full marketing funnel, including visits, clicks, registrations, and deposits.
- Investigate marketing performance data on request, identify meaningful trends and anomalies, and translate findings into clear business recommendations.
- Develop and maintain dashboards and reports that provide actionable visibility into funnel performance and help teams quickly identify issues and optimization opportunities.
- Support business teams in planning, launching, and analyzing experiments designed to improve customer acquisition, engagement, and retention.
- Apply statistical concepts and analytical methods to evaluate experiment results and support data-driven decision-making.
- Collaborate closely with data engineers and web analysts to improve the collection, processing, and quality of marketing data from multiple sources.
- Contribute to the optimization and continuous improvement of marketing data pipelines and analytical workflows.
- Ensure reporting and analytical outputs are accurate, reliable, and easy for business stakeholders to understand.
- Maintain clear, structured, and up-to-date documentation for processes, datasets, dashboards, and analytical work.
- Identify opportunities to automate repetitive analytical tasks and improve the efficiency of marketing reporting and analysis.
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